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Noisy Tensor Completion via the Sum-of-Squares Hierarchy

Noisy Tensor Completion via the Sum-of-Squares Hierarchy

26 January 2015
Boaz Barak
Ankur Moitra
ArXivPDFHTML

Papers citing "Noisy Tensor Completion via the Sum-of-Squares Hierarchy"

19 / 19 papers shown
Title
A New Sampling Technique for Tensors
A New Sampling Technique for Tensors
Srinadh Bhojanapalli
Sujay Sanghavi
82
35
0
17 Feb 2015
Dictionary Learning and Tensor Decomposition via the Sum-of-Squares
  Method
Dictionary Learning and Tensor Decomposition via the Sum-of-Squares Method
Boaz Barak
Jonathan A. Kelner
David Steurer
52
187
0
06 Jul 2014
Provable Tensor Factorization with Missing Data
Provable Tensor Factorization with Missing Data
Prateek Jain
Sewoong Oh
89
195
0
11 Jun 2014
Sum-of-squares proofs and the quest toward optimal algorithms
Sum-of-squares proofs and the quest toward optimal algorithms
Boaz Barak
David Steurer
41
137
0
21 Apr 2014
Rounding Sum-of-Squares Relaxations
Rounding Sum-of-Squares Relaxations
Boaz Barak
Jonathan A. Kelner
David Steurer
43
124
0
23 Dec 2013
Understanding Alternating Minimization for Matrix Completion
Understanding Alternating Minimization for Matrix Completion
Moritz Hardt
49
258
0
03 Dec 2013
Smoothed Analysis of Tensor Decompositions
Smoothed Analysis of Tensor Decompositions
Aditya Bhaskara
Moses Charikar
Ankur Moitra
Aravindan Vijayaraghavan
78
154
0
14 Nov 2013
From average case complexity to improper learning complexity
From average case complexity to improper learning complexity
Amit Daniely
N. Linial
Shai Shalev-Shwartz
48
120
0
10 Nov 2013
More data speeds up training time in learning halfspaces over sparse
  vectors
More data speeds up training time in learning halfspaces over sparse vectors
Amit Daniely
N. Linial
Shai Shalev-Shwartz
45
46
0
10 Nov 2013
Low-rank Matrix Completion using Alternating Minimization
Low-rank Matrix Completion using Alternating Minimization
Prateek Jain
Praneeth Netrapalli
Sujay Sanghavi
118
1,066
0
03 Dec 2012
Computational and Statistical Tradeoffs via Convex Relaxation
Computational and Statistical Tradeoffs via Convex Relaxation
V. Chandrasekaran
Michael I. Jordan
44
220
0
05 Nov 2012
Learning mixtures of spherical Gaussians: moment methods and spectral
  decompositions
Learning mixtures of spherical Gaussians: moment methods and spectral decompositions
Daniel J. Hsu
Sham Kakade
76
324
0
25 Jun 2012
A Spectral Algorithm for Latent Dirichlet Allocation
A Spectral Algorithm for Latent Dirichlet Allocation
Anima Anandkumar
Dean Phillips Foster
Daniel J. Hsu
Sham Kakade
Yi-Kai Liu
102
300
0
30 Apr 2012
A Method of Moments for Mixture Models and Hidden Markov Models
A Method of Moments for Mixture Models and Hidden Markov Models
Anima Anandkumar
Daniel J. Hsu
Sham Kakade
86
341
0
03 Mar 2012
The Convex Geometry of Linear Inverse Problems
The Convex Geometry of Linear Inverse Problems
V. Chandrasekaran
Benjamin Recht
P. Parrilo
A. Willsky
123
1,338
0
03 Dec 2010
Estimation of low-rank tensors via convex optimization
Estimation of low-rank tensors via convex optimization
Ryota Tomioka
K. Hayashi
H. Kashima
107
208
0
05 Oct 2010
Matrix Completion from Noisy Entries
Matrix Completion from Noisy Entries
Raghunandan H. Keshavan
Andrea Montanari
Sewoong Oh
104
718
0
11 Jun 2009
Matrix Completion from a Few Entries
Matrix Completion from a Few Entries
Raghunandan H. Keshavan
Andrea Montanari
Sewoong Oh
180
1,242
0
20 Jan 2009
Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear
  Norm Minimization
Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization
Benjamin Recht
Maryam Fazel
P. Parrilo
169
3,758
0
28 Jun 2007
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